Abstract
The paper proposes a solution for the optimization of traveling times in a metropolitan area that exploits the traffic images collected from webcams located at the crossroads of the traffic network. This is achieved by optimizing the traffic light cycles according to a distributed mathematical model whose solution is obtained by using suitable soft-computing agents resident on the nodes of the information network where they are responsible of processing the webcam images and of managing the traffic light cycles.
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Faro, A., Giordano, D., Spampinato, C. (2006). SOFT-COMPUTING AGENTS PROCESSING WEBCAM IMAGES TO OPTIMIZE METROPOLITAN TRAFFIC SYSTEMS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_141
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DOI: https://doi.org/10.1007/1-4020-4179-9_141
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
Online ISBN: 978-1-4020-4179-2
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